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100%, Zurich, fixed-term Do you have expertise in applied electronics and signal processing? Are you interested in applied research on transformative electronic textiles (e-textiles)? Your research
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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ideas into production-quality code. Processes are lightweight and agile: short goals, rapid iterations, direct contact with instructors and other stakeholders. All of our code is open and freely available
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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Prof. Dr. Maria Lukatskaya has been leading the Electrochemical Energy Systems Laboratory since 2020. The laboratory focuses on designing electrochemical processes by engineering electrolytes and
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computer skills (MS Office, SAP, etc.) enable you to work efficiently Experience in the areas of event management and communication, and an affinity for technical applications and web CMS With your
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morphogenetic processes. Job description We are looking for a highly motivated postdoctoral researcher to: Develop and integrate numerical solvers for reaction-diffusion systems Extend the existing C++ codebase
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive